samsung SM-A156B
Geekbench AI Score
479
Single Precision Score
480
Half Precision Score
896
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 08:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A156B |
| Model ID | samsung SM-A156B |
| Motherboard | a15x |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
100% |
620
115.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
686
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1004
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
1559
1.85 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
566
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
683
8.12 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (Q)
|
95% |
1415
16.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
897
6.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
894
6.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
1437
13.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1759
2.28 IPS |
|
|
Style Transfer (HP)
|
89% |
1747
2.27 IPS |
|
|
Style Transfer (Q)
|
98% |
3586
4.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
851
31.5 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.5 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.6 IPS |
|
|
Text Classification (Q)
|
88% |
450
606.9 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.69 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
